1281. Can Make Palindrome From Substring¶
Difficulty: Medium
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1281. Can Make Palindrome from Substring
Medium
You are given a string s and array queries where queries[i] = [lefti, righti, ki]. We may rearrange the substring s[lefti...righti] for each query and then choose up to ki of them to replace with any lowercase English letter.
If the substring is possible to be a palindrome string after the operations above, the result of the query is true. Otherwise, the result is false.
Return a boolean array answer where answer[i] is the result of the ith query queries[i].
Note that each letter is counted individually for replacement, so if, for example s[lefti...righti] = "aaa", and ki = 2, we can only replace two of the letters. Also, note that no query modifies the initial string s.
Example :
Input: s = "abcda", queries = [[3,3,0],[1,2,0],[0,3,1],[0,3,2],[0,4,1]] Output: [true,false,false,true,true] Explanation: queries[0]: substring = "d", is palidrome. queries[1]: substring = "bc", is not palidrome. queries[2]: substring = "abcd", is not palidrome after replacing only 1 character. queries[3]: substring = "abcd", could be changed to "abba" which is palidrome. Also this can be changed to "baab" first rearrange it "bacd" then replace "cd" with "ab". queries[4]: substring = "abcda", could be changed to "abcba" which is palidrome.
Example 2:
Input: s = "lyb", queries = [[0,1,0],[2,2,1]] Output: [false,true]
Constraints:
1 <= s.length, queries.length <= 1050 <= lefti <= righti < s.length0 <= ki <= s.lengthsconsists of lowercase English letters.
Solution¶
class Solution {
private int pref[][];
public List<Boolean> canMakePaliQueries(String s, int[][] queries) {
int n = s.length();
pref = new int[n][26];
for (int i = 0; i < n; i++) {
char current = s.charAt(i);
for (int j = 0; j < 26; j++)
if (i - 1 >= 0)
pref[i][j] = pref[i - 1][j];
pref[i][current - 'a']++;
}
List<Boolean> res = new ArrayList<>();
for (int query[] : queries) {
int l = query[0], r = query[1], k = query[2];
int countOdd = 0;
for (int i = 0; i < 26; i++) {
int total = pref[r][i];
if (l - 1 >= 0)
total -= pref[l - 1][i];
if (total % 2 == 1)
countOdd++;
}
if (2 * k >= countOdd - 1)
res.add(true);
else
res.add(false);
}
return res;
}
}
Complexity Analysis¶
- Time Complexity:
O(?) - Space Complexity:
O(?)
Approach¶
Detailed explanation of the approach will be added here